Policy presence
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
Beijing, China (Mainland)
Beijing Jiaotong University
Beijing Jiaotong University has 3 source-backed AI policy claims from 1 official source attribution. Review state: agent reviewed; 3 reviewed claims. Last checked May 21, 2026.
Beijing Jiaotong University AI policy short answer
v1 public contract
Beijing Jiaotong University has 3 source-backed AI policy claims from 1 official source attribution, including 3 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 21, 2026. Discovery context: Beijing Jiaotong University is listed as QS 2026 rank 851-900.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Beijing Jiaotong University as an agent-reviewed AI policy record last checked on May 21, 2026 and last changed on May 21, 2026. The record contains 3 source-backed claims, including 3 reviewed claims, from 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/beijing-jiaotong-university.json. The entity-level confidence is 86%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Coursework
Beijing Jiaotong University has 3 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Beijing Jiaotong University has 3 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Academic integrity
No source-backed public claim about academic-integrity treatment of AI use is present in this profile.
The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
Approved tools
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
Named AI services
No source-backed public claim naming a specific AI service is present in this profile.
The current public tracker record does not contain claim evidence naming a specific AI service.
Teaching guidance
Beijing Jiaotong University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
Security and procurement
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
3 reviewed evidence-backed public claim
Teaching
Beijing Jiaotong University's 2023-2024 undergraduate teaching quality report says the university opened liberal-arts/science-track AI general courses and aimed for AI course coverage for the 2024 undergraduate cohort, except where programs already include AI courses.
Review: Agent reviewed
Normalized value: 2024 undergraduate cohort AI-course coverage through AI general foundation/application courses, with duplicate courses avoided where programs already include AI courses.
Original evidence
Evidence 1为提高学生数字素养，按文科、理工科分类开设“人工智能通识基础”“人工智能基础及应用”，专业课程已包含人工智能类课程则无需重复开设，做到 2024 级人工智能课程全覆盖；
Localized display only
To improve students' digital literacy, BJTU opened AI general foundation and AI foundation/application courses by humanities/science tracks, avoiding repeats where programs already include AI courses, to cover the 2024 cohort.
Teaching
For the Zhan Tianyou College-related 2024 undergraduate training model described in the report, BJTU required majors in the information ability module to add AI-specialized courses categorized as AI foundation, AI expansion, and AI frontier courses.
Review: Agent reviewed
Normalized value: Zhan Tianyou College 2024 training model information ability module includes AI-specialized courses in foundation, expansion, and frontier categories.
Original evidence
Evidence 1要求各专业在信息能力模块中加入人工智能（AI）专项课程，按课程梯度分为 AI 基础类、AI 拓展类、AI 前沿三类。
Localized display only
The report says each major was required to add AI-specialized courses in the information ability module, divided by course gradient into AI foundation, AI expansion, and AI frontier categories.
Teaching
BJTU's undergraduate teaching quality report says the university developed AI-enabled course pilots using large-model technologies around knowledge graphs, 24-hour intelligent learning companions, AI teaching assistants, and AI mentors, with experience to be promoted across the university.
Review: Agent reviewed
Normalized value: 22 AI-enabled course pilots using large-model technologies, knowledge graphs, intelligent learning companions, AI teaching assistants, and AI mentors.
Original evidence
Evidence 1开展 AI 赋能课程开发及建设。依托智慧课程平台，利用人工智能大模型等先进技术，围绕知识图谱、24 小时智能学伴、AI 助教和 AI 导师等内容开展 22 门试点课程建设，并将试点建设经验向全校进行推广，打造全覆盖式人工智能课程体系。
Localized display only
BJTU reported 22 AI-enabled course pilots using large-model technologies around knowledge graphs, 24-hour intelligent learning companions, AI teaching assistants, and AI mentors, with pilot experience to be promoted across the university.
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
1 source attribution
北京交通大学2023-2024学年本科教学质量报告
bksy.bjtu.edu.cn
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.